INTEGRATIVE TRANSCRIPTOMIC, PROTEOMIC, AND MACHINE LEARNING APPROACH TO IDENTIFYING FEATURE GENES OF ATRIAL FIBRILLATION USING ATRIAL SAMPLES FROM PATIENTS WITH VALVULAR HEART DISEASE

Abstract Background Atrial fibrillation (AF) is the most common arrhythmia with poorly understood mechanisms.We aimed to investigate the biological mechanism of AF and to discover feature genes by analyzing multi-omics data and by applying a machine learning approach.Methods At the transcriptomic level, four microarray datasets (GSE41177, GSE79768,

Metaplastic breast carcinoma (MBC) is a rare malignant neoplasm of the breast which is accel lifetime horse supplement highly aggressive and is known for its early recurrence and poor prognosis.Concurrent detection of a MBC and tuberculosis of the axillary lymph node is a rarity.To the best of our knowledge, there is no such case report in the lite